Border detection in echocardiography images using texture analysis

A tool for image texture analysis (TITA) has been developed for application to two-dimensional echocardiographic images. Through a user-friendly environment, spatio-temporal changes in texture can be analyzed to characterize the tissue or to provide segmentation and border detection. As an example of the application of TITA, the implementation of an inverse difference moment based algorithm for the extraction of endocardial boundaries from echocardiographic images is presented. The proposed method has been applied to apical four chamber and paraesternal short axis views, showing excellent results even in difficult images. It is possible to conclude that the difference image of echocardiographic frames contains sufficient information for accurate detection of borders and regions